Name
Abstract | ||
|---|---|---|
Mining entities relationships on the Web is a crucial problem for many data analysis work. We propose a new method to discover the relationships between two entities on the Web and designed an entities relationships miner prototype ERM, where the relationships can be mined in different granularities and the related Web pages containing the connections between two entities are returned in ranked order. Our experimental results show that ERM provides an efficient yet effective way for the user to discover the entities relationships on the Web. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICSC.2008.16 | ICSC |
Keywords | Field | DocType |
entities relationships miner prototype,mining entities,discovering entities relationships,web pages,data analysis,different granularity,crucial problem,mining entities relationship,internet,data mining,entities relationship,erm,related web page,new method,data analysis work,erbium,entity relationship,artificial neural networks | World Wide Web,Web mining,Web page,Ranking,Computer science,Web modeling,Internet data mining,Artificial neural network,The Internet | Conference |
ISBN | Citations | PageRank |
978-0-7695-3279-0 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Yu | 1 | 125 | 19.50 |
| Junpeng Chen | 2 | 16 | 4.13 |
| Guoying Yu | 3 | 0 | 0.34 |